op {
  graph_op_name: "BitwiseOr"
  summary: "Elementwise computes the bitwise OR of `x` and `y`."
  description: <<END
The result will have those bits set, that are set in `x`, `y` or both. The
computation is performed on the underlying representations of `x` and `y`.

For example:

```python
import tensorflow as tf
from tensorflow.python.ops import bitwise_ops
dtype_list = [tf.int8, tf.int16, tf.int32, tf.int64,
              tf.uint8, tf.uint16, tf.uint32, tf.uint64]

for dtype in dtype_list:
  lhs = tf.constant([0, 5, 3, 14], dtype=dtype)
  rhs = tf.constant([5, 0, 7, 11], dtype=dtype)
  exp = tf.constant([5, 5, 7, 15], dtype=tf.float32)

  res = bitwise_ops.bitwise_or(lhs, rhs)
  tf.assert_equal(tf.cast(res,  tf.float32), exp)  # TRUE
```

END
}
